M.S. Computer Science

Graduates of the program will be able to:

• Analyze and prove the properties of algorithms, software, and computing systems using the theoretical underpinnings of Computer Science — assessing run-time efficiency, reasoning about correctness, and designing new data structures and algorithms for new use cases.
• Analyze, design, and construct software that contributes to large, multi-layered and multi-machine systems — reliable, scalable applications built with modern engineering practices and deployed across parallel, distributed, and cloud environments.
• Design and construct software that employs intelligence and learning to solve complex, open-ended, and novel problems — from machine learning models and neural networks to data-driven systems applied to real-world domains.
• Select, develop, communicate, and deploy viable solutions in one or more Computer Science sub-fields — going deep in your chosen specialization, whether that's Artificial Intelligence, Cybersecurity, Hyperscale Computing, or Software Engineering, and presenting your work the way industry expects

In practical terms, this means graduates can assess the run-time efficiency of algorithms and design new data structures for new use cases; build reliable, scalable full-stack software for real-world applications; construct robust and secure database systems from design to implementation; and develop networked applications that exploit parallel and cloud computing.